AI/ML Engineer

P99SOFT; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

P99soft is seeking an AI/ML Engineer in Hyderabad to design, build, and productionize machine learning models. You will work on end-to-end ML pipelines, from data preparation and feature engineering to model deployment and monitoring, collaborating with cross-functional teams.

The ideal candidate has 4–10 years in AI/ML, strong Python skills, and hands-on experience with ML frameworks, time-series forecasting, and MLOps practices. Join a dynamic engineering team at P99soft.

Qualifications

• 4–10 years of AI/ML engineering experience.
• Strong Python and ML framework knowledge.
• Experience with end-to-end ML pipelines (data prep, training, evaluation, deployment, monitoring).
• Experience with Time Series Forecasting (Prophet or similar).

Responsibilities

• Design, develop, train, evaluate, and deploy ML models for real-world use cases.
• Build end-to-end ML pipelines including data prep, feature engineering, training, deployment, and monitoring.
• Preprocess data, perform feature engineering, and conduct EDA.
• Develop ML models with Python and frameworks (Scikit-learn, PyTorch, TensorFlow).
• Forecast time series and optimize models for performance and scalability.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.

Skills

Python

Scikit-learn

PyTorch

TensorFlow

Time Series Forecasting

Prophet

Feature Engineering

Data Preparation

Model Optimization

SQL

Pandas

NumPy

Education

Bachelor's or Master's degree in CS/AI/DS

Tools

MLflow

Docker

Kubernetes

CI/CD

Cloud Platforms (AWS/Azure/GCP)

Job description

Experience

4-10 Years

Location

Hyderabad, India

Job Type

Full-Time

Department

Engineering / Artificial Intelligence & Machine Learning

About The Role

We are looking for a skilled AI/ML Engineer with 4+ years of hands-on experience in developing, evaluating, deploying, and monitoring machine learning solutions. The ideal candidate should have strong expertise in Python, machine learning frameworks, time-series forecasting, feature engineering, data preparation, and model optimization. The candidate will be responsible for taking ML models from development through production while ensuring performance, reliability, and scalability. Experience with MLOps, CI/CD, cloud platforms, Generative AI, LLMs, RAG, or Agentic AI will be an added advantage.

Key Responsibilities

• Design, develop, train, evaluate, and deploy machine learning models for real-world business use cases.
• Develop end-to-end ML pipelines, covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
• Perform data preprocessing, cleaning, transformation, feature engineering, and exploratory data analysis.
• Develop and optimize ML models using Python and frameworks such as Scikit-learn, PyTorch, and TensorFlow.
• Develop Time Series Forecasting models using techniques and frameworks such as Prophet and other forecasting approaches.
• Evaluate model performance using appropriate metrics and validation techniques.
• Perform model optimization and hyperparameter tuning to improve accuracy, performance, and scalability.
• Work with structured and unstructured datasets to identify patterns, trends, and insights.
• Build reusable Python-based ML components, pipelines, and applications.
• Deploy ML models into production environments and ensure their reliability and scalability.
• Implement ML model monitoring to track model performance, data quality, drift, and production issues.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams to translate business requirements into ML solutions.
• Troubleshoot model and pipeline issues and continuously improve production ML workflows.
• Follow software engineering best practices including version control, testing, documentation, and code reviews.

Required Skills

• 4-10 years of professional experience in AI/ML, Machine Learning Engineering, Data Science, or a related field.
• Strong programming experience in Python.
• Strong understanding of Machine Learning concepts and algorithms.
• Hands-on experience with machine learning frameworks/libraries such as:
• Scikit-learn
• PyTorch
• TensorFlow
• Experience in Time Series Forecasting, preferably using Prophet or similar forecasting frameworks.
• Strong knowledge of feature engineering and data preparation techniques.
• Experience with model development, training, evaluation, deployment, and monitoring.
• Experience with model optimization and hyperparameter tuning.
• Good understanding of statistics, probability, and data analysis.
• Experience working with Pandas and NumPy.
• Good knowledge of SQL and working with structured data/databases.
• Strong analytical and problem-solving skills.

Good to Have

MLOps & Production Engineering

• Knowledge of MLOps practices and machine learning lifecycle management.
• Experience with CI/CD pipelines for ML applications.
• Experience with model versioning and experiment tracking.
• Experience deploying and managing ML models in production environments.
• Familiarity with tools such as MLflow or similar MLOps platforms.
• Experience with Docker/Kubernetes is an added advantage.

Cloud & Modern Data Platforms

• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Exposure to modern cloud-based data platforms and data environments.
• Experience with cloud-based ML services or deployment environments is an advantage.

Generative AI & Emerging Technologies

• Experience with Generative AI and Large Language Models (LLMs).
• Knowledge of RAG (Retrieval-Augmented Generation) architectures.
• Experience with embeddings and vector databases.
• Understanding of prompt engineering.
• Exposure to Agentic AI / AI Agents and agent-based architectures.
• Experience integrating LLMs into production applications is an added advantage.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, Statistics, or a related field.
• 4–10 years of relevant professional experience.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a cross-functional team.
• Strong interest in learning and working with emerging AI/ML technologies.

What We Offer

• Opportunity to work on AI/ML and emerging technology initiatives.
• Exposure to real-world Machine Learning, Time Series Forecasting, and AI use cases.
• Opportunity to work with modern cloud, MLOps, and data technologies.
• Exposure to Generative AI, LLMs, RAG, and Agentic AI initiatives.
• Collaborative and learning-focused work environment.
• Career growth opportunities and exposure to innovative projects.

P99soft is an equal-opportunity employer

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Life@P99soft

At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth

About Us

P99soft is a leading IT Services and IT Consulting company dedicated to making our customers' business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners. Journey towards digital transformations begins here. Our talented teams help you make informed decisions, enhance operation efficiencies, create state-of-the-art visual interfaces, and design dynamic workflows to bring a better customer experience. Our engineering teams take complete ownership of assigning the right talent and architecting solutions using the latest technologies.

Our Vision:

“To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”

Our Mission:

“To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”